# 52242

## Автор(ов):

1

Параметры публикации

Доклад

## Название:

Towards the Defuzzification Procedure in an ANFIS

Да

2380-6516

## DOI:

10.1109/SIBCON.2019.8729588

## Наименование конференции:

• 2019 International Siberian Conference on Control and Communications (SIBCON)

## Наименование источника:

• Proceedings of the IEEE International Siberian Confererence on Control and Communications (SIBCON-2019)

• Tomsk

• IEEE

2019

## Страницы:

https://ieeexplore.ieee.org/document/8729588
Аннотация
The paper pays attention to particularities concerned with the defuzzification procedure in adaptive neural network based fuzzy inference systems. Specifically, the problem of constructing recursive parameter estimation algorithms is considered with regard to their convergence and stability. In the combination with various forms of the quadratic criterion, such an approach enables on to obtain strongly consistent estimation algorithms under essential generality of modeled system description; and the convergence properties are demonstrated in the comparison with conventional algorithms.

## Библиографическая ссылка:

Чернышев К.Р. Towards the Defuzzification Procedure in an ANFIS / Proceedings of the IEEE International Siberian Confererence on Control and Communications (SIBCON-2019). Tomsk: IEEE, 2019. С. https://ieeexplore.ieee.org/document/8729588.